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Добыча Данных

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Overview

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Learning outcomes

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Course content

1

Introduction To Data Mining

2

Data Preprocessing

3

Data Visualization

4

Cluster Analysis

5

Predictive Modeling

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I recently completed the 'Добыча Данных' course at Stanmore School of Business, and I must say it was an incredible experience! The course content was highly relevant and helped me achieve my learning goals of improving my data analysis skills. I particularly enjoyed the hands-on exercises and case studies, which provided me with practical knowledge of data visualization tools and techniques. The course materials were of high quality, and the instructor was very supportive throughout the course. I would highly recommend this course to anyone looking to enhance their data analysis skills.

LH
Leila Hassan
EG · Course completed

I took the 'Добыча Данных' course at Stanmore School of Business, and it was a great learning experience. The course covered a wide range of topics, from data mining to machine learning, and the instructor did a good job of explaining complex concepts in a simple way. I appreciated the flexibility of the course, which allowed me to balance my work and study commitments. The course materials were well-structured, and the discussions with my peers were very insightful. One area for improvement could be the addition of more real-world examples from the Middle East region, but overall, I'm satisfied with the course and would recommend it to others.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The 'Добыча Данных' course at Stanmore School of Business was amazing! I was blown away by the quality of the course materials and the instructor's expertise. The course was very comprehensive, covering everything from data preprocessing to predictive modeling. I loved the interactive simulations and group projects, which helped me develop my problem-solving skills and learn from my peers. The course was also very well-organized, with clear instructions and deadlines. I'm so glad I took this course, and I would highly recommend it to anyone interested in data science. Thank you, Stanmore School of Business, for an unforgettable learning experience!

RS
Rafaela Silva
BR · Course completed

I completed the 'Добыча Данных' course at Stanmore School of Business, and it was a solid experience. The course content was detailed and helped me understand the concepts of data analysis and visualization. I appreciated the variety of topics covered, including data mining, text analysis, and geospatial analysis. The instructor was knowledgeable, and the course materials were well-structured. One thing that stood out to me was the emphasis on practical applications, which helped me see the real-world relevance of the concepts. I also enjoyed the discussions with my peers, which provided valuable insights and different perspectives. Overall, I'm satisfied with the course, and I would recommend it to others looking to improve their data analysis skills.





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Recently updated!

May 2026